Carrie G. Causing

3.1k citations
10 papers · 2.7k · 1 hit paper · h-index 9

Impact in

Papers in

Carrie G. Causing

9 papers receiving 2.6k citations

Carrie G. Causing's Hit Papers

Smad7 Binds to Smurf2 to Form an E3 Ubiquitin Ligase that Targets the TGFβ Receptor for Degradation 2000 · 1.1k citations
1.1k0+8+17Years since publication2505007501000

Peers

Carrie G. Causing
Comparison fields: 5 of 90
  • Developmental Neuroscience 411
  • Cellular and Molecular Neuroscience 843
  • Molecular Biology 1.8k
  • Immunology and Allergy 86
  • Cell Biology 238
Replace James P. Fandl with:
James P. Fandl United States
Shigemi Hayashi United States
Odile deLapeyrière France
Nessa Hawkins United States
Thomas Hiesberger United States
Eva Sonnenberg-Riethmacher Germany
R. Scott Thies United States
Robert W. Mays United States
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Carrie G. Causing relative to James P. Fandl United States James P. Fandl's profile →
Citations per field
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James P. Fandl · 1×
Citations per year

Countries citing papers authored by Carrie G. Causing

Since Specialization
Citations

This map shows the geographic impact of Carrie G. Causing's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carrie G. Causing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carrie G. Causing more than expected).

Fields of papers citing papers by Carrie G. Causing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carrie G. Causing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carrie G. Causing. The network helps show where Carrie G. Causing may publish in the future.

Co-authors

The 25 scholars most cited alongside Carrie G. Causing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carrie G. Causing Line = papers co-authored together Carrie G. Causing links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Smad7 Binds to Smurf2 to Form an E3 Ubiquitin Ligase that Targets the TGFβ Receptor for Degradation
Hit paper breakdown →
20001142
2 1998444
3 2001265
4 1997252
5 2004183
6 1994178
7 1998156
8 199932
9 199617
10 20030

About Carrie G. Causing

Carrie G. Causing is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Cancer Research, having authored 10 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Ubiquitin and proteasome pathways (3 papers), TGF-β signaling in diseases (2 papers), Virus-based gene therapy research (2 papers), Cancer-related gene regulation (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Developmental Neuroscience (411 citations), Cellular and Molecular Neuroscience (843 citations), Molecular Biology (1.8k citations), Immunology and Allergy (86 citations) and Cell Biology (238 citations). Carrie G. Causing has collaborated with scholars based in Canada and United States. Frequent co-authors include Jeffrey L. Wrana, Peter A. Kavsak, Shirin Bonni, Richele K. Rasmussen, Gerald H. Thomsen, Freda D. Miller, Raquel S. Aloyz, Shernaz X. Bamji, Christine D. Pozniak and Daniel J. Belliveau. Their work appears in journals such as Journal of Neuroscience, The Journal of Comparative Neurology, Molecular Cell, Nature Cell Biology and Neuron.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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